• 제목/요약/키워드: Maximizing Total Regard

검색결과 8건 처리시간 0.023초

FMS의 Deadlock과 Workload를 고려한 최적 버퍼 할당에 관한 연구 (A Study of Buffer Allocation in FMS based on Deadlock & Workload)

  • 이정표;김경섭
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2000년도 추계학술대회 및 정기총회
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    • pp.71-74
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    • 2000
  • Due to the complexity of parts flow and limited resources, FMS(Flexible Manufacturing System) develops blocking, starvation and deadlock problems, which reduce its performance. In order to minimize such problems buffers are imposed between workstations of the manufacturing lines. In this paper, we are concerned with finding the optimal buffer allocation with regard to maximizing system throughput in limited total buffer capacity situation of FMS. A grouping heuristic to solve the buffer allocation problem is proposed. Computer simulation using Arena will be experimented to show the validation of the proposed algotithm.

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Deadlock과 Workload에 따른 FMS의 버퍼 Capacity 결정에 관한 연구 (A Study of Buffer Allocation in FMS based on Deadlock and Workload)

  • 김경섭;이정표
    • 한국시뮬레이션학회논문지
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    • 제9권2호
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    • pp.63-73
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    • 2000
  • Due to the complexity of part flow and limited resources, FMS(Flexible Manufacturing System) develops blocking, starvation and deadlock problems, which reduce its performance. In order to minimize such problems buffers are imposed between workstations of the manufacturing lines. In this paper, we are concerned with finding the optimal buffer allocation with regard to maximizing system throughput in limited total buffer capacity situation of FMS. A dynamic programming algorithm to solve the buffer allocation problem is proposed. Computer simulation using Arena is experimented to show the validation of the proposed algorithm.

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Total Diet Study: For a Closer-to-real Estimate of Dietary Exposure to Chemical Substances

  • Kim, Cho-il;Lee, Jeeyeon;Kwon, Sungok;Yoon, Hae-Jung
    • Toxicological Research
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    • 제31권3호
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    • pp.227-240
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    • 2015
  • Recent amendment on the Food Sanitation Act in Korea mandated the Minister of Food & Drug Safety to secure the scientific basis for management and reevaluation of standards and specifications of foods. Especially because the current food safety control is limited within the scope of 'Farm to Market' covering from production to retail in Korea, safety control at the plane of true 'Farm to Fork' scope is urgently needed and should include 'total diet' of population instead of individual food items. Therefore, 'Total Diet Study (TDS)' which provides 'closer-to-real' estimates of exposure to hazardous materials through analysis on table-ready (cooked) samples of foods would be the solution to more comprehensive food safety management, as suggested by World Health Organization and Food and Agriculture Organization of the United Nations. Although the protection of diets from hazards must be considered as one of the most essential public health functions of any country, we may need to revisit the value of foods which has been too much underrated by the meaningless amount of some hazardous materials in Korea. Considering the primary value of foods lies on sustaining life, growth, development, and health promotion of human being, food safety control should be handled not only by the presence or absence of hazardous materials but also by maximizing the value of foods via balancing with the preservation of beneficial components in foods embracing total diet. In this regard, this article aims to provide an overview on TDS by describing procedures involved except chemical analysis which is beyond our scope. Also, details on the ongoing TDS in Korea are provided as an example. Although TDS itself might not be of keen interest for most readers, it is the main user of the safety reference values resulted from toxicological research in the public health perspective.

태스크 선택정책에 기반을 둔 IRIS 태스크 스케줄링 알고리즘 (IRIS Task Scheduling Algorithm Based on Task Selection Policies)

  • 심재홍;최경희;정기현
    • 정보처리학회논문지A
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    • 제10A권3호
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    • pp.181-188
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    • 2003
  • 본 논문에서는 IRIS(Increasing Reward with Increasing Service) 태스크들을 위한 기존 온-라인 최적 알고리즘에 근접한 총가치(total reward)를 생성하면서 보다 낮은 스케줄링 복잡도를 가진 휴리스틱(heuristic) 온-라인 스케줄링 알고리즘을 제안한다. 기존 알고리즘들은 총가치를 최대화하기 위해 시스템 내의 모든 태스크들을 스케줄링 대상으로 고려한다. 따라서 이들 알고리즘들은 많은 태스크들을 가진 실제 시스템에 적용하기에는 매우 놀은 시간 복잡도를 가진다. 제안 알고리즘은 시스템 내의 모든 태스크들을 대상으로 스케줄링하는 것이 아니라, 상수 W개의 태스크들을 선택하여 이들을 대상으로 스케줄링 한다. 제안 알고리즘은 W개의 태스크를 어떤 기준에 의해 선택할 것인가를 규정하는 테스크 선택정책에 기반을 두고 있으며, 간단하면서도 직관적인 두 가지 선택정책과 이 둘을 통합한 보다 일반화된 선택정책을 제안한다. 스케줄링 대상을 축소함으로써 제안 알고리즘의 복잡도를 O(Wn)로 줄일 수 있었다. 다양한 성능실험 결과 알고리즘 평균 계산 빈도는 O(W)에 더 가깝다는 것을 확인할 수 있었다.

실내 마감재료의 TVOC 방출 저감을 위한 화강섬록암 현탁액 도포효과 (The Effect on the Granodiorite Suspension Coated Indoor Finishing Materials for Reduction of TVOC Emissions)

  • 이종규;김지현;이재용;이수용
    • 한국건축시공학회지
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    • 제8권5호
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    • pp.93-99
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    • 2008
  • The environment draws attention in the global community and a growing number of Koreans have interest in improving the quality of life, the importance of house environment has attracted the attention of the public. Against this backdrop, constructors have unveiled environmentally -friendly projects. However, they failed to establish people-oriented environment by being occupied with maximizing profitability through the improvement of brand image and caused sick house syndrome that has recently made controversy. In this regard, the study analyzed the mechanism of discharge of TVOC, one of the sick house syndrome-causing materials, that affects IAQ and its characteristics and examined the effect that granodiorite has on reduction of the discharge of TVOC in order to minimize damage. Experimental sample consisted of interior finishing materials frequently used in ceiling, wall and floor and adhesives used at a time of construction, and the TVOC of building materials was measured through the use of septum bottle unlike In the existing chamber method. Measures to counter the sick house syndrome were suggested by reducing the possible damage from the stage of selection of building material and by figuring out the effect that the granodiorite has on reduction of the discharge of TVOC.

Issues and Vision of Korea Maritime Police

  • Lee, Sangjib
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2000년도 International Symposium:on the Maritime Management Systems for Safer and Cleaner Seas in the New Millennium
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    • pp.14-25
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    • 2000
  • Should the Korea Maritime Police Agency (KMPA) be a comprehensive, multi-functional organization for a unique on-scene service at sea, as in the case of the U.S. Coast Guard, or should it be simply a water police agency, confining its mission only to law enforcement? The argument about enlarging or limiting KMPA's function has been and will be repeated. In this paper, Lee Sangjib highlights the internal and external issues facing KMPA, stemming partly from deficiencies of its struggles for advancement of the organization and partly from shortcomings of political support for it. In this regard, he urges KMPA to practise a scientific management system for maximizing cost-effectiveness of its administrative resources and for maintaining its identity and characteristics as a lead maritime agency. In addition, he also suggests that KMPA adopt the Total Quality Management System for quality improvements in services and greater efficiency in its organization structure to meet the future competition in the changing political and legal environment. He further recommends the proactive, non-regulatory 'Prevention Through People' program, pioneered by the U.S. Coast Guard, as a way of changing KMPA's existing lopsidedly legalistic culture. He concludes by providing a 6-point vision statement for KMPA from the standpoint of favoring enlarging the function of KMPA.

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교육서비스 품질이 관계관리에 미치는 영향: 서비스 유통 관점에서 (Effects of Education Service Quality on Relationship Management from the Service Distribution Perspective)

  • 조현진
    • 유통과학연구
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    • 제13권3호
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    • pp.41-49
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    • 2015
  • Purpose - Universities are placing a greater emphasis on relationship management as a source of competitive advantage due to increasingly competitive environments and social changes. The purpose of this study is to analyze the relationships among education service quality, relationship quality, and relationship performance from the perspective of service distribution. In other words, this study is focused on the role of education service quality with regard to relationship management. In this study, education service quality is divided into lecture, job assistance, student-faculty interaction, student-student interaction, facility welfare, and scholarship welfare quality components; relationship quality is composed of satisfaction and commitment; and relationship performance is divided into recommendation and defection intentions. Research design, data, and methodology - This study aims to identify how the various elements of education service quality affect satisfaction. Further, it aims to test the relationships among satisfaction, commitment, recommendation intentions, and defection intentions. Distribution and marketing students were randomly selected for the experiment. Out of the 380 administered questionnaires, a total of 361 respondents provided complete and usable data. The sample consisted of 232 males (64.3%) and 129 females (35.7%). The variables of the proposed model were measured through assessments that were measured on a 5-point Likert scale. Using Lisrel 8.7, a structural model was analyzed and the path coefficients were estimated. Results - The overall fit of the model was acceptable (χ2=1121.8 (df=603, P=0.00), GFI=0.967, NFI=0.974, CFI=0.981, RMR=0.021). The results generally supported the hypothesized relationships of the proposed model, except for Hypothesis 1. First, lecture, job assistance, student-faculty interaction, student-student interaction, and facility welfare quality were revealed to have positive effects on satisfaction. In particular, lecture and facility welfare quality had the strongest effects on satisfaction. However, scholarship welfare quality did not significantly affect satisfaction; this means that Hypothesis 3-2 was not supported. Second, satisfaction was positively related to commitment and recommendation intentions but it was negatively related to defection intentions. Third, commitment was positively related to recommendation intentions but it was negatively related to defection intentions. Conclusions - This study emphasizes the influence of education service quality on satisfaction in the long-term. In addition, this research has the following implications for university relationship management. First, the findings suggest that the various dimensions of education service quality have differing effects on satisfaction. In particular, lecture and facility welfare quality are found to be the most important factors in increasing the level of satisfaction. Therefore, university managers need to prioritize enhancing lecture quality and upgrading educational facilities. Second, satisfaction also improves through job assistance systems and opportunities for social interactions. Therefore, university managers should reinforce their job skills programs and should provide opportunities for social relationships to develop. Finally, it is important for university managers to take a relationship approach to maximizing relationship performance. Therefore, university managers should work to increase student recommendations and prevent their defections based on satisfaction and commitment.

기계학습을 이용한 수출신용보증 사고예측 (The Prediction of Export Credit Guarantee Accident using Machine Learning)

  • 조재영;주지환;한인구
    • 지능정보연구
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    • 제27권1호
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    • pp.83-102
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    • 2021
  • 2020년 8월 정부는 한국판 뉴딜을 뒷받침하기 위한 공공기관의 역할 강화방안으로서 각 공공기관별 역량을 바탕으로 5대 분야에 걸쳐 총 20가지 과제를 선정하였다. 빅데이터(Big Data), 인공지능 등을 활용하여 대국민 서비스를 제고하고 공공기관이 보유한 양질의 데이터를 개방하는 등의 다양한 정책을 통해 한국판 뉴딜(New Deal)의 성과를 조기에 창출하고 이를 극대화하기 위한 다양한 노력을 기울이고 있다. 그중에서 한국무역보험공사(KSURE)는 정책금융 공공기관으로 국내 수출기업들을 지원하기 위해 여러 제도를 운영하고 있는데 아직까지는 본 기관이 가지고 있는 빅데이터를 적극적으로 활용하지 못하고 있는 실정이다. 본 연구는 한국무역보험공사의 수출신용보증 사고 발생을 사전에 예측하고자 공사가 보유한 내부 데이터에 기계학습 모형을 적용하였고 해당 모형 간에 예측성과를 비교하였다. 예측 모형으로는 로지스틱(Logit) 회귀모형, 랜덤 포레스트(Random Forest), XGBoost, LightGBM, 심층신경망을 사용하였고, 평가 기준으로는 전체 표본의 예측 정확도 이외에도 표본별 사고 확률을 구간으로 나누어 높은 확률로 예측된 표본과 낮은 확률로 예측된 경우의 정확도를 서로 비교하였다. 각 모형별 전체 표본의 예측 정확도는 70% 내외로 나타났고 개별 표본을 사고 확률 구간별로 세부 분석한 결과 양 극단의 확률구간(0~20%, 80~100%)에서 90~100%의 예측 정확도를 보여 모형의 현실적 활용 가능성을 보여주었다. 제2종 오류의 중요성 및 전체적 예측 정확도를 종합적으로 고려할 경우, XGBoost와 심층신경망이 가장 우수한 모형으로 평가되었다. 랜덤포레스트와 LightGBM은 그 다음으로 우수하며, 로지스틱 회귀모형은 가장 낮은 성과를 보였다. 본 연구는 한국무역보험공사의 빅데이터를 기계학습모형으로 분석해 업무의 효율성을 높이는 사례로서 향후 기계학습 등을 활용하여 실무 현장에서 빅데이터 분석 및 활용이 활발해지기를 기대한다.